Creating a Coordinator Adjusted Expected Pass Model in Python
Using coordinator data to build a tree boosted mixed effects model
Using coordinator data to build a tree boosted mixed effects model
Quantifying QB volatility and developing a volatility over expected GAM model
Evaluating route combos and coverages with mixed models.
Usage of a generalized additive model with mixed effects to analyze coordinator pass heaviness.
Producing a Bayesian beta binomial model to analyze various CFB QB's completion percentage
Developing a web scraper with Rvest to collect and organize PFR injury data